HP HP ProBook 460 16 inch G11 Notebook PC
Geekbench AI Score
1655
Single Precision Score
836
Half Precision Score
4044
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 08:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 460 16 inch G11 Notebook PC |
| Motherboard | HP 8C84 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1091
202.9 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.6 IPS |
|
|
Image Classification (Q)
|
99% |
3413
636.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
4795
78.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2684
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1915
2.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
10119
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.6 IPS |
|
|
Object Detection (HP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (Q)
|
86% |
3228
259.4 IPS |
|
|
Face Detection (SP)
|
100% |
2183
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
873
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
4910
58.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3727
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1210
9.32 IPS |
|
|
Depth Estimation (Q)
|
78% |
8427
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6546
8.42 IPS |
|
|
Style Transfer (HP)
|
100% |
4677
6.01 IPS |
|
|
Style Transfer (Q)
|
98% |
11399
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1238
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
852
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2712
100.4 IPS |
|
|
Text Classification (SP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
473
631.2 IPS |
|
|
Text Classification (Q)
|
97% |
993
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (Q)
|
65% |
1726
34.7 IPS |
